Machine Learning & Deep Learning Course

Mr. Data Business School Course Objective

Learn & Grow Today. Get Skillset on  Machine Learning and Deep learning at Mr Data Business School. Objective of this course is to cover the basics as well as core concepts of machine learning , with the focus on Deep learning based algorithms to solve business specific use cases.

This course will train the students to understand the end to end flow in building machine learning algorithms such as how to analyze the data , perform feature engineering and model building and validation. Find the best machine learning courses for your level and needs.

Practical Sessions

All course curriculum is backed by practical sessions.

Real Time Trainer

This course is real time trainers driven teaching content .

Assignments

Assignments will be given on important chapters to gauge performance.

Professional Certificate

After successful completion of course certificate of completion will be issued.

Choose the perfect plan

Basic

Face-to Face Training

  • Flexible schedule
  • Price: €1597

Premium

Classroom

  • Incl. Materials
  • Price: €2.235

Gold

Classroom

Who this course is for ?

Professionals and students who have understood the value and importance of machine learning.

Those who have interest to pursue them to enrich their skill sets and career path.

Trainers Profile

Mondy H

Data Analytics Developer

Business Information Systems, Zuyd University, Maastricht, The Netherlands. 8+ years experience with analyzing exterprise data from complex SAP systems. Strong technical skill. Understanding and experience implementing software systems. Experience lies within translation of business requirements to ERP, DHW, Extract Data, Transfer Data, Load Data from data warehouse by  risk reports in Business Objects 4 and Microsoft Power BI , within Fin. HR ancial Industry,

Ram.K

Machine Learning Trainer

Worked as Senior Data Scientist in various companies. 10+ years of experience in the Industry. Have undertaken projects in Industries such as Finance , Manufacturing , Retail / Ecommerce. Active participants in Machine Learning Hackathons.